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9/6/2021 10:32:49 AM | Browse: 396 | Download: 692
Publication Name Artificial Intelligence in Gastrointestinal Endoscopy
Manuscript ID 68993
Country China
Received
2021-06-11 14:55
Peer-Review Started
2021-06-11 14:59
To Make the First Decision
Return for Revision
2021-06-24 04:12
Revised
2021-06-25 01:44
Second Decision
2021-08-18 03:20
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2021-08-18 09:37
Articles in Press
2021-08-18 09:37
Publication Fee Transferred
Edit the Manuscript by Language Editor
2021-09-01 06:56
Typeset the Manuscript
2021-09-03 05:23
Publish the Manuscript Online
2021-09-06 10:32
ISSN 2689-7164 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Copyright © The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Gastroenterology & Hepatology
Manuscript Type Minireviews
Article Title Early gastrointestinal cancer: The application of artificial intelligence
Manuscript Source Unsolicited Manuscript
All Author List Hang Yang and Bing Hu
ORCID
Author(s) ORCID Number
Hang Yang http://orcid.org/0000-0002-7235-8162
Bing Hu http://orcid.org/0000-0002-9898-8656
Funding Agency and Grant Number
Funding Agency Grant Number
1·3·5 project for disciplines of excellence Clinical Research Incubation Project, West China Hospital, Sichuan University, China 20HXFH016
Corresponding Author Bing Hu, MD, Professor, Department of Gastroenterology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Wu Hou District, Chengdu 610041, Sichuan Province, China. hubingnj@163.com
Key Words Artificial intelligence; Early esophageal cancer; Early gastric cancer; Early colonic cancer
Core Tip The diagnosis and management of early gastrointestinal (GI) cancer is one of the cores of clinical practice. Endoscopy is the indispensable tool for standard surveillance and management. Artificial intelligence (AI) as a novel technology and has been penetrated in some fields of cancer including early GI cancer. Therefore, we provide an overview and introduce how AI can be applicated to endoscopy on early GI cancer mainly including esophagus, stomach, and colon from the point of view of the clinical diagnosis and management guidelines. And studies with quality control on the diagnosis and management of early GI cancer and their precancerous lesions have also been concluded.
Publish Date 2021-09-06 10:32
Citation Yang H, Hu B. Early gastrointestinal cancer: The application of artificial intelligence. Artif Intell Gastrointest Endosc 2021; 2(4): 185-197
URL https://www.wjgnet.com/2689-7164/full/v2/i4/185.htm
DOI https://dx.doi.org/10.37126/aige.v2.i4.185
Full Article (PDF) AIGE-2-185.pdf
Full Article (Word) AIGE-2-185.docx
Manuscript File 68993-Review-Filipodia.docx
Answering Reviewers 68993-Answering reviewers.pdf
Audio Core Tip 68993-Audio core tip.mp3
Conflict-of-Interest Disclosure Form 68993-Conflict-of-interest statement.pdf
Copyright License Agreement 68993-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 68993-Language certificate.pdf
Peer-review Report 68993-Peer-review(s).pdf
Scientific Misconduct Check 68993-Scientific misconduct check.pdf
Scientific Editor Work List 68993-Scientific editor work list.pdf